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001432190 019__ $$a1198893036$$a1237445716$$a1241528861$$a1250096867
001432190 020__ $$a9783030605773$$q(electronic bk.)
001432190 020__ $$a3030605779$$q(electronic bk.)
001432190 020__ $$z9783030605766
001432190 020__ $$z3030304272
001432190 020__ $$z9783030304270
001432190 0247_ $$a10.1007/978-3-030-60577-3$$2doi
001432190 035__ $$aSP(OCoLC)1202471265
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001432190 049__ $$aISEA
001432190 050_4 $$aQA76.87$$b.I58 2020eb
001432190 08204 $$a006.3/2$$223
001432190 1112_ $$aInternational Conference on Neuroinformatics$$n(22nd :$$d2020 :$$cMoscow, Russia)
001432190 24510 $$aAdvances in neural computation, machine learning, and cognitive research IV :$$bselected papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia /$$cBoris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, editors.
001432190 2463_ $$aAdvances in neural computation, machine learning, and cognitive research 4
001432190 264_1 $$aCham :$$bSpringer,$$c2021.
001432190 264_4 $$c©2021
001432190 300__ $$a1 online resource (xvi, 441 pages)
001432190 336__ $$atext$$btxt$$2rdacontent
001432190 337__ $$acomputer$$bc$$2rdamedia
001432190 338__ $$aonline resource$$bcr$$2rdacarrier
001432190 4901_ $$aStudies in computational intelligence ;$$vv. 925
001432190 500__ $$aIncludes author index.
001432190 50500 $$gPart I.$$tInvited Papers --$$tReverse Engineering the Brain Based on Machine Learning --$$tWho Says Formalized Models are Appropriate for Describing Living Systems? --$$gPart II.$$tCognitive Sciences and Brain-Computer Interface --$$tMirror Neurons in the Interpretation of Action and Intentions --$$tRevealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition --$$tAssessment of Cortical Travelling Waves Parameters Using Radially Symmetric Solutions to Neural Field Equations with Microstructure --$$tA Rehabilitation Device for Paralyzed Disabled People Based on an Eye Tracker and fNIRS --$$tAnalytic Model of Mental Rotation --$$tTopology of the Thesaurus of Russian Adjectives Revealed by Measurements of the Spoken Word Recognition Time --$$gPart III.$$tAdaptive Behavior and Evolutionary Simulation --$$tModel of Self-organizing System of Autonomous Agents --$$tRole of Resource Production in Community of People and Robots --$$tModeling of Interaction Between Learning and Evolution at Minimizing of Spin-Glass Energy --$$tSymmetry Learning Using Non-traditional Biologically Plausible --$$tProviding Situational Awareness in the Control of Unmanned Vehicles --$$tNeurobiology and Neurobionics Complexity of Continuous Functions and Novel Technologies for Classification of Multi-channel EEG Records --$$tTowards Neuroinformatic Approach for Second-Person Neuroscience --$$tIs the Reinforcement Learning Theory Well Suited to Fit the Functioning of the Cerebral Cortex-Basal Ganglia System? --$$tNeural Activity Retaining in Response to Flash Stimulus in a Ring Model of an Orientation Hypercolumn with Recurrent Connections, Synaptic Depression and Slow NMDA Kinetics --$$tApplications of Neural Networks Deep Neural Networks for Ortophoto-Based Vehicle Localization --$$tRoof Defect Segmentation on Aerial Images Using Neural Networks --$$tChoice of Hyperparameter Values for Convolutional Neural Networks Based on the Analysis of Intra-network Processes --$$tGeneration an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System --$$tAutomatic Segmentation of Acute Stroke Lesions Using Convolutional Neural Networks and Histograms of Oriented Gradients --$$tLearning Embodied Agents with Policy Gradients to Navigate in Realistic Environments --$$tComparative Efficiency of Prediction of Relativistic Electron Flux in the Near-Earth Space Using Various Machine Learning Methods --$$tMetal Oxide Gas Sensors Response Processing by Statistical Shape Analysis and Machine Learning Algorithm for Industrial Safety Applications --$$tFeature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods --$$tThe Text Fragment Extraction Module of the Hybrid Intelligent Information System for Analysis of Judicial Practice of Arbitration Courts --$$tConstruction of a Neural Network Semi-empirical Model of Deflection of a Sample from a Composite Material --$$tCombined Neural Network for Assessing the State of Computer Network Elements --$$tOperational Visual Control of the Presence of Students in Training Sessions --$$tClassification of Microscopy Image Stained by Ziehl-Neelsen Method Using Different Architectures of Convolutional Neural Network --$$tUsing a Sparse Neural Network to Predict Clicks probabilities in Online Advertising --$$tError Analysis for Visual Question Answering --$$tSuper Intelligence to Solve COVID-19 Problem --$$tNeural Network Theory, Concepts and Architectures Time Series Prediction by Reservoir Neural Networks --$$tMonitoring Human Cognitive Activity Through Biomedical Signal Analysis --$$tAdversarial Dataset Augmentation Using Reinforcement Learning and 3D Modeling --$$tData Representation in All-Resistor Systems --$$tThe Neuromorphic Model of the Human Visual System --$$tRing of Unidirectionally Synaptically Coupled Neurons with a Relay Nonlinearity --$$tFind a Needle in a Haystack -- Sorting arXiv Articles by Your Criteria --$$tQuantization of Weights of Trained Neural Network by Correlation Maximization Method --$$tSolar Plant Intelligent Control System Under Uniform and Non-uniform Insolation --$$tHopfield Neural Network and Anisotropic Ising Model --$$tDevelopment of the Learning Logic Gate for Optimization of Neural Networks at the Hardware Level --$$tApproximating Conductance-Based Synapses by Current-Based Synapses --$$tSTDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding --$$tSolving Equations Describing Processes in a Piecewise Homogeneous Medium on Radial Basis Functions Networks --$$tDecoding Neural Signals with a Compact and Interpretable Convolutional Neural Network --$$tEstimation of the Complexity of the Classification Task Based on the Analysis of Variational Autoencoders.
001432190 506__ $$aAccess limited to authorized users.
001432190 520__ $$aThis book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.
001432190 588__ $$aDescription based on print version record.
001432190 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 3, 2020).
001432190 650_0 $$aNeural networks (Computer science)$$vCongresses.
001432190 650_6 $$aRéseaux neuronaux (Informatique)$$vCongrès.
001432190 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001432190 655_0 $$aElectronic books.
001432190 7001_ $$aKryzhanovsky, Boris.
001432190 7001_ $$aDunin-Barkowski, Witali.
001432190 7001_ $$aRedko, Vladimir.
001432190 7001_ $$aTiumentsev, Yury.
001432190 77608 $$iPrint version:$$aKryzhanovsky, Boris.$$tAdvances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia.$$dCham : Springer International Publishing AG, ©2020$$z9783030605766
001432190 830_0 $$aStudies in computational intelligence ;$$vv. 925.
001432190 852__ $$bebk
001432190 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60577-3$$zOnline Access$$91397441.1
001432190 909CO $$ooai:library.usi.edu:1432190$$pGLOBAL_SET
001432190 980__ $$aBIB
001432190 980__ $$aEBOOK
001432190 982__ $$aEbook
001432190 983__ $$aOnline
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